Courtny T.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Oct 9, 2026.

Independent Full-Stack AI Engineer Independent Software Development & Product Engineering Build and ship production-ready AI applications, scalable SaaS platforms, intelligent automation systems, and full-stack software products from concept to deployment. Combine modern software engineering with AI-assisted development, LLM integration, agentic workflows, automation platforms, and cloud infrastructure to rapidly transform ideas and business requirements into working products. Build end-to-end products: Transform business requirements and ideas into production-ready software with modern frontend, backend, database, AI, and cloud architectures. Engineer AI-powered applications: Build LLM applications, AI assistants, RAG systems, intelligent automation, knowledge systems, and AI agents using ChatGPT/OpenAI, Claude, Gemini, Grok, and open-source models. Leverage AI development tools: Use ChatGPT, Claude, Base44, Grok, and other AI-powered development platforms to accelerate software architecture, coding, debugging, documentation, testing, prototyping, and product development. Build AI agent workflows: Design agentic systems and automated workflows that connect AI models with APIs, databases, business logic, external services, and real-world processes. Develop AI automation: Create intelligent workflows that automate repetitive tasks, process information, interact with systems, and support business operations. Architect scalable SaaS platforms: Design multi-tenant applications, subscription systems, role-based access control, authentication, complex business workflows, and scalable APIs. Develop modern full-stack applications: Build high-performance applications using React, Next.js, TypeScript, Python, FastAPI, Django, Node.js, NestJS, and Express. Design robust backend systems: Develop REST APIs, GraphQL services, WebSocket applications, asynchronous workflows, integrations, and backend services. Engineer data infrastructure: Design and optimize PostgreSQL, MySQL, MongoDB, and Redis systems with an emphasis on performance, reliability, and scalability. Build RAG and knowledge systems: Implement embeddings, vector search, document processing, retrieval pipelines, semantic search, knowledge bases, and context-aware AI applications. Integrate AI with business systems: Connect LLMs and AI agents to databases, APIs, SaaS platforms, automation workflows, internal tools, and external services. Deploy production systems: Containerize and deploy applications using Docker, AWS, Google Cloud, CI/CD pipelines, and cloud-native infrastructure. Build secure applications: Implement authentication, authorization, role-based permissions, secure APIs, validation, data protection, and production security practices. Own the complete development lifecycle: Take products from architecture and technical planning through development, AI integration, testing, deployment, monitoring, debugging, and continuous improvement. Use AI as an engineering multiplier: Combine AI-assisted development with traditional software engineering to prototype faster, solve complex technical problems, improve productivity, and accelerate the path from concept to production.